
Protection Scientist Engineer, Integrity
Primary stack
Nice to have's
Job description
About the Position
Protection Scientist Engineer, Integrity
About the Team
The Integrity team at OpenAI is dedicated to developing systems that identify and respond to harmful activities on our platforms. Our mission is to protect users and the broader community by addressing complex issues such as cybersecurity, child safety, and nation-state misuse. We work on both frontier harms and high-severity abuses to ensure the safety and integrity of our products.
Responsibilities
- Define and drive protection strategy: Translate ambiguous risks into clear goals, priorities, and roadmaps, making evidence-based trade-offs.
- Build and maintain harm detection systems: Develop production signals, classifiers, and pipelines using SQL, Python, machine learning, and language models.
- Lead cross-functional execution: Translate between specialist roles, resolve dependencies, and communicate recommendations effectively.
- Investigate emerging harms and abuse patterns: Collaborate with domain experts to develop detection criteria and inform policies and review protocols.
- Evaluate and improve the system of defence: Measure harm, detection quality, and intervention effectiveness, and collaborate with Data Science to develop sophisticated metrics.
- Protect product and model launches: Define data, detection, and review requirements, establish monitoring, and drive improvements based on post-launch findings.
- Scale effective approaches: Use language models, agents, and reusable tools to automate and improve reliability, with appropriate human oversight.
Requirements
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Core Skills:
- Proficiency in SQL and Python
- Experience in writing reliable and efficient production code
- Knowledge of machine learning and data science
- Strong investigative skills
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Secondary Skills:
- Ability to set strategy and deliver complex, cross-functional technical projects
- Strong communication skills, both written and verbal
- Experience with quantitative analysis and machine learning methods
- Ability to use language models and automation to scale analytical, investigative, or operational work
We Offer
- Competitive salary
- Full-time employment
- On-site work location in London, UK
- Collaborative and innovative work environment
About the Company
OpenAI is an AI research and deployment company committed to ensuring that artificial intelligence benefits all of humanity. We focus on creating safe and beneficial AI systems, valuing diverse perspectives and experiences. We are an equal opportunity employer and do not discriminate based on race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other legally protected characteristics.
For more information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.
Join us in shaping the future of technology and help us protect users from harm on our platforms.
© Label Your Data. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.
Label Your Data provides secure and high quality data annotation services for Computer Vision or NLP applications since 2020. We help Data Scientists and AI Engineers streamline the dataset labeling and focus on model development.About Label Your Data:— Founded in 2020;— 200+ annotation experts in Europe, LATAM and Africa;— 98%+ annotation accuracy benchmark;— 55 supported languages;— PCI/DSS certified;— ISO/IEC 27001:2013 certified;— GDPR, CCPA and HIPAA-compliant;— HQs in North America, EU and Asia.Our experience spans over 20 industries including Automotive, Robotics, Agriculture, E-commerce, Retail, Healthcare, Manufacturing, Fintech and Insurance.Our core services include but are not limited to:— Image & video annotation: 2D boxes, OCR, object/action detection, polygons, key points, semantic segmentation, 3D cuboids;— Text annotation: classification, NER, intent & sentiment analysis, prompts creation, Q&A pairs generation;— Audio annotation: transcription, sentiment recognition;— Sensor data annotation;— Data classification & categorization;— Data entry;— Data collection;— Model validation.
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